Carbon mitigation effects and potential cost savings from carbon emissions trading in China's regional industry

被引:105
|
作者
Zhang, Weijie [1 ]
Zhang, Ning [1 ]
Yu, Yanni [2 ]
机构
[1] Jinan Univ, Coll Econ, Guangzhou 510632, Guangdong, Peoples R China
[2] Shandong Univ, Inst Blue & Green Dev, Weihai 264209, Peoples R China
基金
中国国家自然科学基金;
关键词
Carbon mitigation effects; Potential cost savings; Carbon emissions trading; CO2; EMISSIONS; SHADOW PRICE; ABATEMENT COST; POWER-PLANTS; ECONOMIC-PERFORMANCE; TECHNICAL EFFICIENCY; GUANGDONG PROVINCE; EMPIRICAL-ANALYSIS; GAINS; ENERGY;
D O I
10.1016/j.techfore.2018.12.014
中图分类号
F [经济];
学科分类号
02 ;
摘要
China began a pilot carbon emissions trading scheme (ETS) in 2013. However, the real carbon mitigation effects of this policy are unclear. Moreover, the potential cost savings from internal or external trading among provinces are also uncertain. Based on panel data of 30 provincial industries from 2006 to 2015, this paper first employs a difference-in-differences model to explore the effects of the pilot ETS on industrial carbon emissions and carbon intensity. A Stochastic Frontier Analysis is then conducted to measure industrial energy efficiency and identify any carbon mitigation effects. We next use a parameterized directional output distance function to estimate the industrial carbon marginal abatement costs and analyze the potential cost savings/gains from internal trading among provinces within the same geographical regions and from external trading across regions. Results show that: (a) the pilot ETS has significant negative effects on industrial carbon emissions (10.1%) and carbon intensity (0.78%). (b) Energy efficiency plays an important role in the carbon mitigation effects. (c) the distribution of marginal abatement cost (MAC) shows significant geographical characteristics. (d) Provinces can realize greater potential cost saving/gains through regional external trading than internal trading.
引用
收藏
页码:1 / 11
页数:11
相关论文
共 50 条
  • [1] Comparing potential cost savings of energy quota trading and carbon emissions trading for China's industrial sectors
    Yu, Yanni
    Su, Yuan
    Qi, Chao
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2022, 186
  • [2] Comparison of the potential cost savings from carbon emissions trading for the manufacturing industries in three regions of China
    Jin, Yingmei
    Lee, Myunghun
    [J]. CARBON MANAGEMENT, 2015, 6 (3-4) : 161 - 168
  • [3] Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings
    Wang, Ke
    Wei, Yi-Ming
    Huang, Zhimin
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2016, 63 : 48 - 59
  • [4] Evaluation of effectiveness of China's carbon emissions trading scheme in carbon mitigation
    Gao, Yuning
    Li, Meng
    Xue, Jinjun
    Liu, Yu
    [J]. ENERGY ECONOMICS, 2020, 90
  • [5] Evaluation of effectiveness of China's carbon emissions trading scheme in carbon mitigation
    Gao, Yuning
    Li, Meng
    Xue, Jinjun
    Liu, Yu
    [J]. Energy Economics, 2020, 90
  • [6] Carbon mitigation and energy conservation effects of emissions trading policy in China considering regional disparities
    Shao, Qinglong
    Zhang, Zhekai
    [J]. ENERGY AND CLIMATE CHANGE, 2022, 3
  • [7] China's forest carbon sinks and mitigation potential from carbon sequestration trading perspective
    Ke, Shuifa
    Zhang, Zhao
    Wang, Yumeng
    [J]. ECOLOGICAL INDICATORS, 2023, 148
  • [8] Emissions trading and abatement cost savings: An estimation of China's thermal power industry
    Wang, Ke
    Zhang, Xian
    Yu, Xueying
    Wei, Yi-Ming
    Wang, Bin
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 65 : 1005 - 1017
  • [9] The Potential Gains from Carbon Emissions Trading in China's Industrial Sectors
    Yu, Yanni
    Zhang, Weijie
    Zhang, Ning
    [J]. COMPUTATIONAL ECONOMICS, 2018, 52 (04) : 1175 - 1194
  • [10] The Potential Gains from Carbon Emissions Trading in China’s Industrial Sectors
    Yanni Yu
    Weijie Zhang
    Ning Zhang
    [J]. Computational Economics, 2018, 52 : 1175 - 1194